Title :
A Survey of State of the Art Biomedical Text Mining Techniques for Semantic Analysis
Author :
Dai, Hong Jie ; Lin, Jaimie Yi Wen ; Huang, Chi Hsin ; Chou, Pei Hsuan ; Tsai, Richard Tzong Han ; Hsu, Wen Lian
Author_Institution :
Inst. of Inf. Sci., Acad. Sinica, Taipei
Abstract :
The abstract is to be in fully-justified italicized text, at the top of the left-hand column as it is here, below the author information. Use the word "Abstract" as the title, in 12-point Times, boldface type, centered relative to the column, initially capitalized. The abstract is to be in 10-point, single-spaced type, and up to 150 words in length. Leave two blank lines after the abstract, then begin the main text.
Keywords :
biology computing; text analysis; abstract; art biomedical text mining techniques; semantic analysis; Biomedical computing; Biosensors; Computer networks; Computer science; Data mining; Hidden Markov models; Pervasive computing; Tagging; Text mining; Web services; Named Entity Recognition; Natural Language Processing; Relation Extraction; Semantic Role Labelling; Text Mining;
Conference_Titel :
Sensor Networks, Ubiquitous and Trustworthy Computing, 2008. SUTC '08. IEEE International Conference on
Conference_Location :
Taichung
Print_ISBN :
978-0-7695-3158-8
Electronic_ISBN :
978-0-7695-3158-8
DOI :
10.1109/SUTC.2008.86
